SIR calibration (calib_mod): first i sampled from prior 10000 sample sets, then i used them to calculated outcomes and likelihoods for each sample set, then i resampled from those 10000 with replacement with likelihood weights 10000 samples (unique sets = 6217), and ran the model on all of them and generated distributions for prevalence of rx opioid use, deaths, od deaths, total oat —- likelihood included deaths (gamma distribution), prevalence of rx opioid use (normal distribution instead of binomial), and total OAT